Finding the "dark matter" in human and yeast protein network prediction and modelling.

ABSTRACT: Accurate modelling of biological systems requires a deeper and more complete knowledge about the molecular components and their functional associations than we currently have. Traditionally, new knowledge on protein associations generated by experiments has played a central role in systems modelling, in contrast to generally less trusted bio-computational predictions. However, we will not achieve realistic modelling of complex molecular systems if the current experimental designs lead to biased screenings of real protein networks and leave large, functionally important areas poorly characterised. To assess the likelihood of this, we have built comprehensive network models of the yeast and human proteomes by using a meta-statistical integration of diverse computationally predicted protein a

SUBMITTER: Ranea JA 

PROVIDER: S-EPMC2944794 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature